用GA求解动态联盟中伙伴选择的多目标优化模型

A GENETIC ALGORITHM FOR A MULTIOBJECTIVE OPTIMIZATION MODEL FOR PARTNER SELECTION IN VIRTUAL ENTERPRISE

  • 摘要: 描述动态联盟中的伙伴选择问题,针对以活动网络形式组织的新产品开发项目,建立伙伴选择的多目标优化模型,实现项目失败风险最小化和项目完工时间最小化,并利用带自适应移动线技术的遗传算法,求得问题的整个非劣解集合,仿真结果证明了算法的有效性.

     

    Abstract: The problem of partner selection in virtual enterprise is described and a multiobjective optimization model is proposed based on the new product development project that is organised by activity network. The objective is, by selecting the optimal combination of partners, to minimize project's failure risk and project's completion time. By using a genetic algorithm with self-adaptive shift line technique, the whole set of Pareto solutions is found. Simulation results show the algoritm's efficiency.

     

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